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Lead FullStack GenAI Developer

  • Canada
  • Remote
  • Posted Sep 19, 2026
  • 1 position

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Employment type
Contract
Experience level
Senior · 5+ years
Apply by
Oct 16, 2026
Posting language
English
Working hours
40 hours per week
Location requirements
Country, Vancouver, British Columbia, Canada
Seniority
Mid-Senior level
Application method
Direct apply is available

Job summary

The role involves building and deploying production-grade GenAI, RAG, and agentic systems while leading technical initiatives. You will be responsible for integrating AI services with enterprise data systems and ensuring operational resilience and telemetry.

Job details

Deep, recent experience personally building and deploying production GenAI, RAG or agentic systems. Advanced Python and strong software-design, API, asynchronous-processing, testing and debugging skills. Strong understanding of retrieval, context engineering, model behaviour, structured generation, agents, evaluation and observability. Candidates must be able to demonstrate recent personal code contributions to production GenAI systems. Experience limited to architecture oversight, technical management, notebooks or demonstrations is insufficient. Practical experience with Azure AI services and/or Databricks, with the ability to work productively across both. Experience integrating AI services with enterprise data and application systems. Strong SQL and production data-engineering capability, including data profiling, transformation, quality validation, schema evolution, lineage and reliable batch or event-driven pipelines. Experience implementing security, resilience, error handling and operational telemetry in production services. • Ability to lead technically while remaining a substantial individual contributor.

What you’ll do

The role involves building and deploying production-grade GenAI, RAG, and agentic systems while leading technical initiatives. You will be responsible for integrating AI services with enterprise data systems and ensuring operational resilience and telemetry.

Requirements

Candidates must have deep, recent hands-on experience in production GenAI development and strong software engineering skills. Proficiency in Python, SQL, Azure AI, and Databricks is required, along with the ability to work as a substantial individual contributor.

Listed skills

  • SQL · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Python
  • GenAI
  • RAG
  • Agentic systems
  • API development
  • Asynchronous processing
  • Azure AI
  • Databricks
  • SQL
  • Data engineering
  • Data profiling
  • Observability
  • Structured generation
  • Software design
  • Testing
  • Debugging

Job areas

  • Software
  • Technology
  • Data & Analytics
  • Engineering
  • Consulting

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